Fabio Pasqualetti

Fabio Pasqualetti

University of California, Riverside

H-index: 43

North America-United States

About Fabio Pasqualetti

Fabio Pasqualetti, With an exceptional h-index of 43 and a recent h-index of 36 (since 2020), a distinguished researcher at University of California, Riverside, specializes in the field of Learning/data-driven control, Network neuroscience, Cyber-physical systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analytical Characterization of Epileptic Dynamics in a Bistable System

Denoising Diffusion-Based Control of Nonlinear Systems

Closed-form and robust expressions for data-driven LQ control

Learning on manifolds: Universal approximations properties using geometric controllability conditions for neural odes

Astrocytes as a mechanism for meta-plasticity and contextually-guided network function

On the sample complexity of the linear quadratic gaussian regulator

Vibrational stabilization of complex network systems

Robustness of Synchronization with Heterogeneous Self-dynamics and Interactions

Fabio Pasqualetti Information

University

Position

Associate Professor

Citations(all)

10350

Citations(since 2020)

6942

Cited By

6389

hIndex(all)

43

hIndex(since 2020)

36

i10Index(all)

101

i10Index(since 2020)

93

Email

University Profile Page

University of California, Riverside

Google Scholar

View Google Scholar Profile

Fabio Pasqualetti Skills & Research Interests

Learning/data-driven control

Network neuroscience

Cyber-physical systems

Top articles of Fabio Pasqualetti

Title

Journal

Author(s)

Publication Date

Analytical Characterization of Epileptic Dynamics in a Bistable System

arXiv preprint arXiv:2404.03409

Yuzhen Qin

Ahmed El-Gazzar

Danielle S Bassett

Fabio Pasqualetti

Marcel van Gerven

2024/4/4

Denoising Diffusion-Based Control of Nonlinear Systems

arXiv preprint arXiv:2402.02297

Karthik Elamvazhuthi

Darshan Gadginmath

Fabio Pasqualetti

2024/2/3

Closed-form and robust expressions for data-driven LQ control

Federico Celi

Giacomo Baggio

Fabio Pasqualetti

2023/1/1

Learning on manifolds: Universal approximations properties using geometric controllability conditions for neural odes

Karthik Elamvazhuthi

Xuechen Zhang

Samet Oymak

Fabio Pasqualetti

2023/6/6

Astrocytes as a mechanism for meta-plasticity and contextually-guided network function

arXiv preprint arXiv:2311.03508

Lulu Gong

Fabio Pasqualetti

Thomas Papouin

ShiNung Ching

2023/11/6

On the sample complexity of the linear quadratic gaussian regulator

Abed AlRahman Al Makdah

Fabio Pasqualetti

2023/12/13

Vibrational stabilization of complex network systems

Alberto Maria Nobili

Yuzhen Qin

Carlo Alberto Avizzano

Danielle S Bassett

Fabio Pasqualetti

2023/5/31

Robustness of Synchronization with Heterogeneous Self-dynamics and Interactions

IEEE Control Systems Letters

Sarbendu Rakshit

Fabio Pasqualetti

2023/9/26

Data-driven eigenstructure assignment for sparse feedback design

Federico Celi

Giacomo Baggio

Fabio Pasqualetti

2023/12/13

Model-based and data-based dynamic output feedback for externally positive systems

arXiv preprint arXiv:2305.02472

Abed AlRahman Al Makdah

Fabio Pasqualetti

2023/5/4

Using network control theory to study the dynamics of the structural connectome

bioRxiv

Linden Parkes

Jason Z Kim

Jennifer Stiso

Julia K Brynildsen

Matthew Cieslak

...

2023/8/24

Multi-task system identification of similar linear time-invariant dynamical systems

Yiting Chen

Ana M Ospina

Fabio Pasqualetti

Emiliano Dall'Anese

2023/12/13

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

Stochastic contextual bandits with long horizon rewards

Yuzhen Qin

Yingcong Li

Fabio Pasqualetti

Maryam Fazel

Samet Oymak

2023/2/2

Noise in the reverse process improves the approximation capabilities of diffusion models

arXiv preprint arXiv:2312.07851

Karthik Elamvazhuthi

Samet Oymak

Fabio Pasqualetti

2023/12/13

Fusing Multiple Algorithms for Heterogeneous Online Learning

arXiv preprint arXiv:2312.05432

Darshan Gadginmath

Shivanshu Tripathi

Fabio Pasqualetti

2023/12/9

Distributed data-driven control of network systems

IEEE Open Journal of Control Systems

Federico Celi

Giacomo Baggio

Fabio Pasqualetti

2023/3/20

Imitation and transfer learning for LQG control

IEEE Control Systems Letters

Taosha Guo

Abed AlRahman Al Makdah

Vishaal Krishnan

Fabio Pasqualetti

2023/6/12

Vibrational Stabilization of Cluster Synchronization in Oscillator Networks

IEEE Open Journal of Control Systems

Yuzhen Qin

Alberto Maria Nobili

Danielle S Bassett

Fabio Pasqualetti

2023/11/8

Data-Driven Feedback Linearization with Complete Dictionaries

Claudio De Persis

Darshan Gadginmath

Fabio Pasqualetti

Pietro Tesi

2023/12/13

See List of Professors in Fabio Pasqualetti University(University of California, Riverside)

Co-Authors

H-index: 106
Scott Grafton MD

Scott Grafton MD

University of California, Santa Barbara

H-index: 104
Danielle (Dani) S. Bassett

Danielle (Dani) S. Bassett

University of Pennsylvania

H-index: 81
Francesco Bullo

Francesco Bullo

University of California, Santa Barbara

H-index: 61
Jorge Cortes

Jorge Cortes

University of California, San Diego

H-index: 54
Hamed Mohsenian-Rad

Hamed Mohsenian-Rad

University of California, Riverside

H-index: 48
Richard Betzel

Richard Betzel

Indiana University Bloomington

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